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Volume: 08 Issue: 05 | May 2021 www.irjet.net p-ISSN: 2395-0072

A Survey on Bridge Health Monitoring Systems

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Aishwarya Bhondave1, Aakanksha Gaikwad2, Unnati Nichite3 and Shivani Patil4

1-4Computer Department of AISSMS COE PUNE 5Prof. Manasi Phadatare, Computer Department of AISSMS COE PUNE ----------------------------------------------------------------------------*** ----------------------------------------------------------------------------

Abstract - Internet of Things has always taken up a step forward towards providing solutions with great ease. One such system in which the Internet of Things is emerging as a good solution to some extent is the bridge health monitoring (BHM).Bridges are such Clementine materials which are day-night exposed to extreme climatic conditions causing their wear and tear in various aspects. These factors can be: cracks on the bridge surface, overload on the bridge, flood conditions near the bridges etc.This BHM system would use various sensors (water level sensor, IR sensor, etc.) to collect the data, an algorithm (Rapid screening algorithm, image processing) or technique can be used to solve the cracks detection problem in tough or hard to reach areas of bridge.

The data can be analyzed and computed to check whether the bridge has any cracks, or has any flood like conditions near it. If at all there is something wrong with the bridge condition regarding the large number of cracks or rising water level, an alert message can be sent to the concerned person. Theresult ofthis systemwouldbeusedtoanalyze the real time health of the bridge and to take necessary actions towards safety if there is any negativeoutput.

Keywords: Crack detection, Water level detection,

Sensors, Bridge health monitoring, etc.

1. INTRODUCTION

Bridges are our everyday means of traveling for everyone. These bridges are present in various surrounding conditions which can be extreme as well as some slow harm causing factors. The extreme conditions causing harm or degrading the bridges condition can be flooding of water waves, scorching heat, earthquake frequencies, etc. Similarly, the low harm causing factors can be highly loaded vehicles passing more often on through the bridge, Surplus usage of bridge, ignorance of timely maintenance of bridge, etc. Wecanseethatsomebridgesinoursurroundingareoldand safetouseconditions,while there are also some bridges which are newly built but still unsafe due to some ignored factors. This is because the health of any bridge depends on the elements and conditions considered while constructing these bridge. Everybridge has some places where a human inspector can’t reach because these places are out of human reach. Thereneeds amonitoringsystemwhichcan keepaneyeortrackofthe health at such places of bridge. IoT system for bridge health monitoring can be a way through which the bridges can be looked after without any human intervention. AnIoT system consisting of various hardware and software components along with some cloud storage system can be used over the bridge surface for this particular problem. The module built can be used to collect various kinds of data regarding the structure (in this case ‘bridge’). This collected data can be analyzed and if at all the system catch holds of any anomalies, then the concerned authorities wouldreceive the alert notification. This kind of system would reduce many human errors caused during inspection of bridges. An early stage of damage may reduce its maintenance cost and time to be spent on it. The notification sent by the system can result in taking necessary actions towards safety measures. The system would be used for monitoring the bridges remotely without any human interference. The real-time data collected by the system would result in early and effective outcomes for avoiding future harm to many lives.

2. LITERATURE SURVEY 2.1. A case study of integrating IoT technology in

Bridge Health Monitoring [1]

The paper consisted of a system consisting of four modules working in coordination and two technologies used sensor technology and fiber grating technology. The system has sub processes like demodulation, data processing, data storage and identification, safety and alertmessages.

2.1.1. Algorithm

The bridge Health Monitoring system proposed [1] was an integration of following modules. 1. Sensor Module: Composed of fiber optic sensor and sensor network which was responsible for sensing and collecting thedata. 2. Datacollection and process module: This module had sub steps like demodulation, data processing. These processes were performed in the collected data from the sensormodule. 3. Data management module: This is one of the crucial parts of the system when it comes to storing and managing the collected data and retrieve again when needed. This module was also responsible for reporting theresults. 4. Stateevaluation module: Evaluation module had tasks like data identification, safety assessment, and notification of theupdates. All the above-mentioned modules worked in (bidirectional) coordination which made the system work

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